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A survey on methods and challenges in EEG based authentication
EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …
which are the results of synaptic activations of the brain's neurons. In recent years, it has …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
The quest for identifiability in human functional connectomes
The evaluation of the individual “fingerprint” of a human functional connectome (FC) is
becoming a promising avenue for neuroscientific research, due to its enormous potential …
becoming a promising avenue for neuroscientific research, due to its enormous potential …
EEG-based user identification system using 1D-convolutional long short-term memory neural networks
Electroencephalographic (EEG) signals have been widely used in medical applications, yet
the use of EEG signals as user identification systems for healthcare and Internet of Things …
the use of EEG signals as user identification systems for healthcare and Internet of Things …
Brief segments of neurophysiological activity enable individual differentiation
Large, openly available datasets and current analytic tools promise the emergence of
population neuroscience. The considerable diversity in personality traits and behaviour …
population neuroscience. The considerable diversity in personality traits and behaviour …
A survey on brain biometrics
Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …
the domain of cognitive neuroscience, have recently been proposed as a promising …
Convolutional neural networks using dynamic functional connectivity for EEG-based person identification in diverse human states
Highly secure access control requires Swiss-cheese-type multi-layer security protocols. The
use of electroencephalogram (EEG) to provide cognitive indicators for human workload and …
use of electroencephalogram (EEG) to provide cognitive indicators for human workload and …
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
Research on brain biometrics using electroencephalographic (EEG) signals has received
increasing attentions in recent years. In particular, it has been recognized that the brain …
increasing attentions in recent years. In particular, it has been recognized that the brain …
[HTML][HTML] Brain structure-function coupling provides signatures for task decoding and individual fingerprinting
Brain signatures of functional activity have shown promising results in both decoding brain
states, meaning distinguishing between different tasks, and fingerprinting, that is identifying …
states, meaning distinguishing between different tasks, and fingerprinting, that is identifying …
Towards a universal and privacy preserving EEG-based authentication system
EEG-based authentication has gained much interest in recent years. However, despite its
growing appeal, there are still various challenges to their practical use, such as lack of …
growing appeal, there are still various challenges to their practical use, such as lack of …